DataDog::DogStatsd: Improper Neutralization of CRLF Sequences
CVE-2026-9270 is a critical-severity improper neutralization of CRLF sequences vulnerability in DataDog::DogStatsd from Binary, with a CVSS 3.1 base score of 9.1 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, without any action from a user. Affected DataDog::DogStatsd versions: 0.07 and earlier. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.33% chance of exploitation within 30 days, which is low compared with other CVEs.
Critical severity: a successful attack would have severe impact.
What to do
- Check which version of DataDog::DogStatsd you run against the affected versions below, and install the vendor's latest release.
- Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.
Affected products and versions
| Vendor | Product | Affected versions | Fixed in |
|---|---|---|---|
| BINARY | DataDog::DogStatsd | 0.07 and earlier | Not stated |
| Binary | Datadog | 0.07 and earlier | Not stated |
Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.
How the severity score breaks down
- Attack vector
- NetworkCan be exploited remotely over a network, including the internet.
- Attack complexity
- LowNo special conditions are needed; the attack works reliably.
- Privileges required
- NoneNo account or login is needed.
- User interaction
- NoneNo action by a victim is required.
- Scope
- UnchangedImpact stays within the vulnerable component.
- Confidentiality
- HighAll data handled by the component can be read.
- Integrity
- HighData or code can be modified at will.
- Availability
- NoneAvailability is not affected.
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N. Scored by CISA (ADP).
Official description
DataDog::DogStatsd versions through 0.07 for Perl allow metric injections. DataDog::DogStatsd does not properly sanitise input, allowing metric injections of data from untrusted sources. The send_stats method does not remove newlines from metric names ($stat variable), allowing attackers to change the metric name prefix. The send_stats method does not validate the content of the value ($delta variable), allowing attackers to inject metrics, especially from methods that do not restrict the data type for the value, such as set, gauge, count and histogram. The send_stats method does not validate the content of the tags, which may contain newlines, pipes and colons that allow metric injections. Note that the SYNOPSIS shows an example of passing a website form "loginName" parameter as a tag, which is unsafe.
Source: the CVE record as published by its numbering authority, via NVD and CVE.org.
The underlying weakness: Improper Neutralization of CRLF Sequences
The product uses CRLF (carriage return line feeds) as a special element, e.g. to separate lines or records, but it does not neutralize or incorrectly neutralizes CRLF sequences from inputs.
How developers prevent this class of flaw
- Appropriately filter or quote CRLF sequences in user-controlled input.
More Improper Neutralization of CRLF Sequences vulnerabilities (CWE-93)
Timeline
- CVE record published.
- CISA published its SSVC assessment (exploitation: none, automatable: yes, technical impact: total).
- Record last changed materially (score, affected products, status or references).
References
Third-party and government advisories
- cve.org/CVERecord?id=CVE-2026-46719Third Party Advisory
- cve.org/CVERecord?id=CVE-2026-46720Third Party Advisory
- cve.org/CVERecord?id=CVE-2026-46741Third Party Advisory
Other vulnerabilities in DataDog::DogStatsd
- 9.8 Critical severity
Recent Improper Neutralization of CRLF Sequences vulnerabilities
- 9.8 Critical severity
- 7.5 High severity
- 9.9 Critical severity
- 7.5 High severity
- 7.5 High severity
- 7.3 High severity
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